Datasaur

Datasaur is an enterprise AI lab that builds private, secure LLM and data solutions deployed on a customer's own infrastructure. Its Data Studio is a collaborative data-labeling platform (span, row, document, bounding-box, conversational and audio tasks) with ML-assisted labeling, while LLM Labs covers sandboxing, deployment, knowledge bases, model integrations and evaluation. Products include an enterprise chatbot, document intelligence, PII/PHI redaction and private agents, serving legal, healthcare, finance, insurance, eCommerce and government. Developers integrate through a GraphQL API (OAuth2 client credentials) at app.datasaur.ai/graphql, the Robosaur CLI, webhooks, and SAML/SCIM for workspace SSO.

Datasaur is profiled on the APIs.io network. Tagged areas include Company, Enterprise Saas, Data Labeling, Artificial Intelligence, and Machine-Learning.

The Datasaur catalog on APIs.io includes 1 event-driven AsyncAPI specification.

Datasaur’s developer surface includes documentation, API reference, getting-started guide, engineering blog, pricing, signup flow, support, and 23 more developer resources.

🌐 Visit website 📡 Source on GitHub

47.8/100 developing ▬ flat Agent 21/100 agent aware saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

AccessSelf serve

0 APIs

Company Enterprise Saas Data Labeling Artificial Intelligence Machine-Learning Large Language Models NLP Data Annotation GraphQL

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 47.8/100 · developing

Contract Quality 10.4 / 25

Developer Ergonomics 13.2 / 20

Access Clarity 10.8 / 20

Operational Transparency 5.5 / 13

Contract Governance 2.2 / 12

Discoverability 5.7 / 10

Agent readiness — 21/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 6 / 6

Agent Skills 5 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/datasaur: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Event Specifications 1

AsyncAPI definitions for this provider's event-driven and streaming APIs.

Datasaur Webhooks

ASYNCAPI

Security Posture 3

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Datasaur Authentication

oauth2 · 1 scheme

SECURITY

Datasaur Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Datasaur Trust Center

SOC 2, HIPAA, GDPR

SECURITY

Resources

Get Started 4

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Login

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

X-MCPServerCandidate

X-MCPServerCandidate

LLMsTxt

LLMsTxt

AgentSkill

AgentSkill

Design & Contract 5

Pagination, idempotency, versioning, errors, and events

Conformance

Lifecycle

Conventions

DataModel

Webhooks

Build 3

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Packages

Packages

CLI

CLI

Access & Security 4

Authentication, authorization, and security posture

TrustCenter

Compliance

DomainSecurity

Authentication

Operate 4

Status, limits, changes, and where to get help

Support

StatusPage

Deprecation

ChangeLog

Commercial 3

Pricing, plans, and the legal terms of use

Pricing

Pricing

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 2

The organization behind the API

Website

Website

Blog

Blog

Source (apis.yml)

aid: datasaur
name: Datasaur
description: Datasaur is an enterprise AI lab that builds private, secure LLM and data solutions deployed on a customer's
  own infrastructure. Its Data Studio is a collaborative data-labeling platform (span, row, document, bounding-box, conversational
  and audio tasks) with ML-assisted labeling, while LLM Labs covers sandboxing, deployment, knowledge bases, model integrations
  and evaluation. Products include an enterprise chatbot, document intelligence, PII/PHI redaction and private agents, serving
  legal, healthcare, finance, insurance, eCommerce and government. Developers integrate through a GraphQL API (OAuth2 client
  credentials) at app.datasaur.ai/graphql, the Robosaur CLI, webhooks, and SAML/SCIM for workspace SSO.
url: https://raw.githubusercontent.com/api-evangelist/datasaur/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- initialized-capital
x-tier: stub
x-tier-reason: portfolio-lead
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://cdn.prod.website-files.com/623952e7f678f73f3096fd25/66c5ad5767cd845864d963b5_webclip.jpg
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-18'
tags:
- Company
- Enterprise Saas
- Data Labeling
- Artificial Intelligence
- Machine-Learning
- Large Language Models
- NLP
- Data Annotation
- GraphQL
tags_raw:
- Company
- Enterprise Saas
- Data Labeling
- Artificial Intelligence
- Machine Learning
- Large Language Models
- NLP
- Data Annotation
- GraphQL
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://datasaur.ai/
- type: DeveloperPortal
  url: https://docs.datasaur.ai/
- type: Documentation
  url: https://docs.datasaur.ai/
- type: APIReference
  url: https://api-docs.datasaur.ai/
- type: GettingStarted
  url: https://docs.datasaur.ai/welcome-to-datasaur/readme
- type: Blog
  url: https://datasaur.ai/blog
- type: Pricing
  url: https://datasaur.ai/pricing
- type: SignUp
  url: https://app.datasaur.ai/sign-up
- type: Login
  url: https://app.datasaur.ai/login
- type: Support
  url: mailto:support@datasaur.ai
- type: TermsOfService
  url: https://datasaur.ai/terms-of-service
- type: PrivacyPolicy
  url: https://datasaur.ai/privacy-policy
- type: GitHubOrganization
  url: https://github.com/datasaur-ai
- type: StatusPage
  url: https://status.datasaur.ai/
- type: TrustCenter
  url: security/datasaur-trust-center.yml
- type: Compliance
  url: https://datasaur.ai/studio/security
- type: DomainSecurity
  url: security/datasaur-domain-security.yml
- type: Authentication
  name: Datasaur authentication profile
  url: authentication/datasaur-authentication.yml
- type: Packages
  name: Datasaur packages
  url: packages/datasaur-packages.yml
- type: CLI
  name: Robosaur CLI
  url: cli/datasaur-cli.yml
- type: X-MCPServerCandidate
  name: Datasaur MCP (candidate)
  url: mcp/datasaur-mcp.yml
  note: 'Renamed from MCPServer 2026-09-03 (roadmap#247): the manifest self-describes as status: candidate — a tool list derived
    from the published API contracts, not an existing server. The scorer already read the manifest and reported mcp_server
    correctly; the MCPServer type was crediting the artifact-type surfaces with a server that does not exist.'
- type: LLMsTxt
  name: Datasaur llms.txt
  url: llms/datasaur-llms.txt
- type: Conformance
  name: Datasaur conformance
  url: conformance/datasaur-conformance.yml
- type: Lifecycle
  name: Datasaur lifecycle
  url: lifecycle/datasaur-lifecycle.yml
- type: Deprecation
  name: Datasaur deprecation policy
  url: lifecycle/datasaur-lifecycle.yml
- type: ChangeLog
  name: Datasaur release notes
  url: changelog/datasaur-changelog.yml
- type: Conventions
  name: Datasaur API conventions
  url: conventions/datasaur-conventions.yml
- type: DataModel
  name: Datasaur data model
  url: data-model/datasaur-data-model.yml
- type: Webhooks
  name: Datasaur webhooks
  url: asyncapi/datasaur-webhooks.yml
- type: AgentSkill
  name: Datasaur agent skills
  url: skills/_index.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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